Instructions to use lgrobol/flaubert-minuscule with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lgrobol/flaubert-minuscule with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="lgrobol/flaubert-minuscule")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("lgrobol/flaubert-minuscule") model = AutoModelForMaskedLM.from_pretrained("lgrobol/flaubert-minuscule") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d37f4215d2d3928c6d3233e1c1beaca4de8b597df4379d43072a98c5632b71ee
- Size of remote file:
- 18.4 MB
- SHA256:
- d6c374fdbe1a5313f471e78aeb9d059e0263dda201722468893f4722c606d12d
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